Exploring Lamiaceae diterpenoids as potential multitarget therapeutics for leishmaniasis and chagas disease.

IF 3.9 2区 化学 Q2 CHEMISTRY, APPLIED
Renata Priscila Barros de Menezes, Edileuza Bezerra de Assis, Natália Ferreira de Sousa, Jullyanne Maria Saraiva de Souza, Klinger Antônio da França Rodrigues, Luciana Scotti, Josean Fechine Tavares, Marcelo Sobral da Silva, Marcus Tullius Scotti
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Abstract

Neglected tropical diseases such as Leishmaniasis and Chagas disease remain critical public health challenges. This study applied ligand-based virtual screening to a dataset of 4,150 secondary metabolites from the Lamiaceae family, aiming to identify multitarget molecules against four Leishmania species (L. infantum, L. donovani, L. amazonensis, and L. braziliensis) and Trypanosoma cruzi forms. Random forest models exhibited high accuracy (over 72%), leading to the identification of 82 molecules with potential multitarget activity across five of six predictive models. Nineteen prioritized molecules were subjected to molecular docking simulations targeting key enzymes-including sterol 14-alpha demethylase, glucose-6-phosphate dehydrogenase, dihydroorotate dehydrogenase, nucleoside diphosphate kinase, tryparedoxin peroxidase, and cruzain-with compounds 12, 18, and 19 exhibiting a high binding affinity across multiple targets. In vitro assays confirmed the predicted activity of selected molecules (3, 4, and 5) against Leishmania and T. cruzi. Importantly, these molecules represent novel findings, with antileishmanial or antitrypanosomal activities that have not been previously reported. The results highlight their potential as multitarget therapeutic candidates for neglected tropical diseases, paving the way for further biological evaluation and development.

探索Lamiaceae二萜作为利什曼病和恰加斯病潜在的多靶点治疗药物。
被忽视的热带病,如利什曼病和恰加斯病,仍然是重大的公共卫生挑战。本研究采用基于配体的虚拟筛选方法,对来自Lamiaceae家族的4150个次级代谢物数据集进行筛选,旨在鉴定针对4种利什曼原虫(L. infantum, L. donovani, L. amazonensis和L. braziliensis)和克氏锥虫的多靶点分子。随机森林模型显示出较高的准确性(超过72%),在6个预测模型中的5个中鉴定出82个具有潜在多靶点活性的分子。19个优先排序的分子进行了分子对接模拟,目标是关键酶,包括甾醇14- α去甲基化酶、葡萄糖-6-磷酸脱氢酶、二氢乳酸脱氢酶、核苷二磷酸激酶、胰蛋白酶过氧化物酶和cruzin,化合物12、18和19在多个靶标上表现出高结合亲和力。体外实验证实了所选分子(3、4和5)对利什曼原虫和克鲁兹绦虫的预测活性。重要的是,这些分子代表了新的发现,具有以前未报道的抗利什曼原虫或抗锥虫活性。这些结果突出了它们作为被忽视的热带病的多靶点治疗候选药物的潜力,为进一步的生物学评价和开发铺平了道路。
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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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